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This dataset contains a set of twelve future (2020-2050) scenarios modeled by GCAM-USA for the GODEEEP project for the purpose of studying the effects of climate, socioeconomic change, technology change, current decarbonization incentives, and longer-term decarbonization policies on the U.S. energy-economy, the electricity grid, human well-being, and the environment.
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Coincident historical hourly solar and wind generation for each Balancing Authority in the lower 48 U.S. states aggregated from simulated plant-level generation of plants that exist in the Energy Information Administration (EIA) database as of 2020.
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Simulated coincident historical hourly solar and wind generation for each plant in the lower 48 U.S. states that is part of the Energy Information Administration (EIA) 2020 dataset.
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Hourly time-series electric charging load profiles by transportation sector across Balancing Authorities (BAs) in the Western United States.
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Hourly time-series of total load profiles across Balancing Authorities (BAs) in the western United States (U.S.) electricity grid interconnection for two different socioeconomic pathways and one climate scenario.
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Income distributions are a growing area of interest in the examination of equity impacts brought on by climate change and its responses. We project US state level income distributions using a PCA-based approach.
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Physically consistent and coincident historical wind, solar, and load data for 15 Balancing Authorities (BAs) in the lower 48 U.S. states and pre-computed BA-scale energy droughts for a variety of time scales from 1 hour to 5 days.
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Energy consumption output by income group from GCAM-USA with the multiple-consumer feature under four scenarios.
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State-level population projections for SSPs 2, 3, and 5 produced with the Population Gravity model.
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Block-level population projections in Washington state under different Shared Socioeconomic Pathways (SSPs) for every decade from 2020 to 2040.
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Income projections for Washington state (under census geographic boundary 2020) from 2020 to 2100 at the block group and block level, respectively, based on different Shared Socioeconomic Pathways (SSPs).
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21st century climate scenarios for the contiguous U.S. (CONUS), where past events are replayed under four scenarios of future warming conditions (thermodynamic global warming) to show potential increases in extreme event intensity, geographic scope, and duration.
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Population-weighted historical and future meteorology for four Thermodynamic Global Warming (TGW) scenarios
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Population-weighted historical and future meteorology for four Thermodynamic Global Warming (TGW) scenarios
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Understanding the residential energy consumption patterns across multiple income groups under decarbonization scenarios is crucial for designing equitable and effective energy policies that address climate change while minimizing disparities. This dataset is developed using an integrated human-Earth system model, supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment at Pacific Northwest National Laboratory (PNNL). Compared to the first version of the dataset (https://zenodo.org/record/79880387), this updated dataset is based on model runs where the Inflation Reduction Act (IRA) are implemented in the model scenarios. In addition to the queried and post-processed key output variables related to residential energy sector in .csv tables, we also upload the full model output databases in this repository, so that users can query their desired model outputs.
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This dataset uses regional atmospheric climate model output to simulate wind and solar power generation across the entire contiguous US. This data is particularly useful for obtaining power production profiles at new locations or locations where only short records exist, or to study climate change impacts. We assume that a generic power plant exists at each grid cell and model the power output for solar at the surface and wind at 80, 100 and 125 meter hub heights. The data consists of a historical period 1980-2022 and several future scenarios that extend from 2020-2099.
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A global model that represents the behavior of, and interactions between five systems: the energy system, water, agriculture and land use, the economy, and the climate.
Go To ModelAn open-source Python package to model future hourly total electricity loads.
Go To ModelDownscales GCAM-USA transportation electrification loads from annual state-level loads to hourly balancing authority level loads. Different approaches are used for each class of vehicle.
Go To ModelTranslates gridded climate data to point or grid cell scale hourly wind and solar capacity factors.
Go To ModelAn open-source geospatial Python package for evaluating and analyzing future electricity technology capacity expansion feasibility.
Go To ModelA software package that can represent and project income distributions dynamically using various input data.
Go To ModelThe GODEEEP framework is under continual developoment.
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